CompLACS
Composing Learning for Artificial Cognitive Systems
| Coordinatore | UNIVERSITY COLLEGE LONDON
Organization address
address: Gower Street 1 contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 5˙853˙582 € |
| EC contributo | 4˙427˙284 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-6 |
| Funding Scheme | CP |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-03-01 - 2015-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITY COLLEGE LONDON
Organization address
address: Gower Street 1 contact info |
UK (LONDON) | coordinator | 0.00 |
| 2 |
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Organization address
address: Domaine de Voluceau, Rocquencourt contact info |
FR (LE CHESNAY Cedex) | participant | 0.00 |
| 3 |
MONTANUNIVERSITAET LEOBEN
Organization address
address: FRANZ-JOSEF-STRASSE contact info |
AT (LEOBEN) | participant | 0.00 |
| 4 |
ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE
Organization address
address: EGHAM HILL contact info |
UK (EGHAM) | participant | 0.00 |
| 5 |
STICHTING KATHOLIEKE UNIVERSITEIT
Organization address
address: Comeniuslaan contact info |
NL (NIJMEGEN) | participant | 0.00 |
| 6 |
TECHNISCHE UNIVERSITAET BERLIN
Organization address
address: Strasse des 17 Juni contact info |
DE (BERLIN) | participant | 0.00 |
| 7 |
TECHNISCHE UNIVERSITAET DARMSTADT
Organization address
address: Karolinenplatz contact info |
DE (DARMSTADT) | participant | 0.00 |
| 8 |
UNIVERSITY OF BRISTOL
Organization address
address: SENATE HOUSE, TYNDALL AVENUE contact info |
UK (BRISTOL) | participant | 0.00 |
Mappa
Word cloud
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Obiettivo del progetto (Objective)
One of the aspirations of machine learning is to develop intelligent systems that can address a wide variety of control problems of many different types. However, although the community has developed successful technologies for many individual problems, these technologies have not previously been integrated into a unified framework. As a result, the technology used to specify, solve and analyse one control problem typically cannot be reused on a different problem. The community has fragmented into a diverse set of specialists with particular solutions to particular problems. The purpose of this project is to develop a unified toolkit for intelligent control in many different problem areas. This toolkit will incorporate many of the most successful approaches to a variety of important control problems within a single framework, including bandit problems, Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), continuous stochastic control, and multi-agent systems. In addition, the toolkit will provide methods for the automatic construction of representations and capabilities, which can then be applied to any of these problem types. Finally, the toolkit will provide a generic interface to specifying problems and analysing performance, by mapping intuitive, human-understandable goals into machine-understandable objectives, and by mapping algorithm performance and regret back into human-understandable terms.